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Business intelligence essay free

Business intelligence essay free

business intelligence essay free

Jun 01,  · Business Intelligence. Abstract ' For companies maintaining direct contact with large numbers of customers however, a growing number application like e-commerce, call centre support create a new data management challenge: that is effective way of integrating enterprise applications in real time Words: Length: 2 Pages Document Type: Essay Paper #: Read Full Paper. Business Intelligence Google. Business intelligence is effectively the juncture point for connecting the interactivity universe with the vast amount of usable, real-time data that is now captured by the Internet This essay sample on Workable Business Intelligence provides all necessary basic information on this matter, including the most common "for and against" arguments. Below are the introduction, body and conclusion parts of this blogger.comle Plan to Improve Emotional Intelligence at Work Place Emotional Intelligence is one of the topics that



Business Intelligence - Words | Essay Example



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Business Intelligence BI Tools have become the go-to resource for helping companies harness the power of big data and analytics and make smarter, data-driven decisions. During the various years, business intelligence essay free, there have business intelligence essay free various definitions of BI according to its form, usage and the industry it is applied to.


Many of them are focused only on the software used for business intelligence and neglect to include the primary goal of business intelligence. Literature Review Business intelligence became a popular term in the business and Information Technology IT communities only in the s. Business intelligence BI refers to a managerial philosophy and a tool used to help organizations manage and refine business information with the objective of making more effective business decisions Ghoshal and Kim, ; Gilad and Gilad, In European literature, the term BI is considered a broad umbrella concept for competitive intelligence CI and other intelligence-related terms, such as market intelligence, customer intelligence,competitor intelligence, strategic intelligence, and technical intelligence.


Indeed the term has been defined front several perspectives Casado,however they all focus on a shared purpose, analyzing data and information. As Gilad and Gilad have stated, organizations have collected information about their competitors since the dawn of capitalism. The real revolution is in the efforts to institutionalize intelligence activities.


BI presents business information in a timely and easily consumed way and provides the ability to reason and understand the meaning behind business information through, for example, discovery, analysis, and ad-hoc querying Azoff and Charlesworth, Ranjan stated that the major challenge of a BI application to achieve real business impact is to identify and creatively address key business issues.


After discussing the many definitions of BI, the question of why do companies use it naturally arises. The primary goal is tostay ahead of the competition and make the right decision at the right time. Components or Tools of BI BI includes several business intelligence essay free for Extraction, Transformation and Loading ETLdata warehousing, database query and reporting, Berson et. Data and Data Sources Business intelligence all starts with the data. As mentioned in the introduction, businesses have access to more data than ever.


Data sources can be operational databases, historical data, external data from market business intelligence essay free companies or from the Internetor information from the already existing data warehouse environment.


The data sources can be relational databases or any other data structure that supports the line of business applications. They also can reside on many different platforms and can contain structured information, such as tables or spreadsheets, or unstructured information, such as plaintext files or pictures and other multimedia information.


Extract, Transform, Load ETL A key part of BI is the tools and processes used to prepare data for analysis. In addition, if business intelligence is relied on to make critical decisions, businesses must make sure the data they are using is accurate. The process of getting data ready for analysis is known as Extract, Transform, and Load ETL. The data is extracted from internal and external sources, transformed into a common format, and loaded into a data warehouse.


This process also typically includes data integrity checks to make sure the data being used is accurate and consistent. Data Warehouse and Data Marts The data warehouse is the significant component of business intelligence.


It is subject oriented, integrated. A data mart as described by Inmon, is a collection of subject areas organized for decision support based on theneeds of a given department.


Similar to data warehouses, data marts contain operational data that helps business experts to strategize based on analyses of past trends and experiences. The key difference is that the creation of a data mart is predicated on a specific, predefined need for a certain grouping and configuration of select data.


There can be multiple data marts inside an enterprise. A data mart can support a particular business function, business process or business unit.


OLAP On-line analytical processing It refers to the way in which business users business intelligence essay free slice and dice their way through data using sophisticated tools that allow for the navigation of business intelligence essay free such as time or hierarchies.


Online Analytical Processing or OLAP provides multidimensional, summarized views of business data and is used for reporting, analysis, modeling and planning for optimizing the business. OLAP techniques and tools can be used to work with data warehouses or data marts designed for sophisticated enterprise intelligence systems.


Advanced Analytics It is referred to as data mining, forecasting or predictive analytics, this takes advantage of statistical analysis techniques to predict or provide certainty measures on facts. Corporate Performance Management Portals, Scorecards, and Dashboards This general category usually provides a container for several pieces to plug into so that the aggregate tells a story. Discussion Overall, Business Intelligence provides benefits to companies utilizing it.


Initially, BI reduces IT infrastructure costs by eliminating redundant data extraction processes and duplicate data housed in independent data marts across the enterprise.


For example, 3M justified its multimillion- dollar data warehouse platform based on the savings from data mart consolidation Watson, Wixom, and Goodhue, business intelligence essay free,pp. Moreover, it can eliminate a lot of the guesswork within an organization, enhance communication among departments while coordinating activities, business intelligence essay free, and enable companies to respond quickly to changes in financial conditions, customer preferences, and supply chai operations.


So when a company can make decisions based on timely and accurate information, the company can improve its performance. However, there are also a few issues regarding Business Intelligence. Firstly, Most BI benefits are intangible before the fact.


An empirical study for 50 Finnish companies found most companies do not consider cost or time savings as primary benefit when investing in BI systems Hannula and Pirttimaki, The hope is that a good BI system will lead to a return at some time in the future. Secondly, experts view BI in different ways. Ranjanpg is of the opinion that to data mining experts BI is set of advanced decision supportsystems with data mining techniques and applications of algorithms, while to statisticians BI is viewed as a forecasting and multidimensional analysis based tool.


Data warehousing experts view BI as supplementary systems and is very new to them. These experts treat BI as technology platform for decision support application. Third, very few organizations have a full-fledged enterprise data warehouse. The main key to successful BI system is consolidating data from the many different enterprise operational systems into an enterprise data warehouse.


Berson emphasizes that in view of emerging highly dynamic business environment, only the most competitive enterprises will achieve sustained market success. The organizations will distinguish themselves by the capability to leverage information about their market place, customers, business intelligence essay free, and operations to capitalize on the business opportunities.


Conclusions and Future Study The business intelligence BI has evolved over the past decade to rely increasingly on real time data. The paper explored the concepts of BI, its components, benefits and issues of BI. It is importantto examine the impact BI has on each individual company and on the economy as a whole.


The possible future of Business Intelligence lies in cloud computing. Security, data protection, lack of control, and several other barriers prevent widespread adoption of the BI; however cloud computing promises significant benefits, which need to be maturely and reasonably assessed.


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This essay is not unique. Sorry, we could not paraphrase this essay. Our professional writers can rewrite it and get you a unique paper, business intelligence essay free. Want us to write one just for you? We use cookies to personalyze your web-site experience. This essay has been submitted by a student. This is not an example business intelligence essay free the work written by professional essay writers. Business Intelligence bi Subject: Information Science and TechnologyPsychologyBusiness Category: Cognitive PsychologyManagement Topic: Information TechnologyIntelligenceKnowledge Management Pages 3 Words: Published: 27 September Downloads: 42 Download Print.


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Introduction to Business Intelligence

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Business Intelligence Essays: Examples, Topics, Titles, & Outlines


business intelligence essay free

Jun 01,  · Business Intelligence. Abstract ' For companies maintaining direct contact with large numbers of customers however, a growing number application like e-commerce, call centre support create a new data management challenge: that is effective way of integrating enterprise applications in real time Words: Length: 2 Pages Document Type: Essay Paper #: Read Full Paper. Business Intelligence Google. Business intelligence is effectively the juncture point for connecting the interactivity universe with the vast amount of usable, real-time data that is now captured by the Internet This exploratory essay on Business Intelligence was written and submitted by your fellow student. You are free to use it for research and reference purposes in order to write your own paper; however, you must cite it accordingly

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